Hedge funds Flashcards

Everything in the financial modelling course regarding Hedge funds

1
Q

What is an event-driven hedgefund

A

Attempts to profit from situations such as M&A, restructuring, bankruptcy, etc.

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2
Q

Describe long-short equity hedge

A

Equity-oriented posittions on either side, depending on outlook, not meant to be market neutral.

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3
Q

Describe portable alpha

A

Market neutral pure play, buy a stock you think will increase, while for example neutralizing market risk by selling index futures to achieve zero beta. So a market neutral position on the stock.

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4
Q

What is statistical arbitrage

A

Quantitative and often automated trading systems that seek out temporary and modest misalignments in prices. Different from convential as its not risk-free based on unambiguous mispricing.

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5
Q

Describe price smoothing

A

Hedge funds with illquid assets may smoothe reported prices, leading to serial correlation between returns

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6
Q

What is the bakcfill bias

A

Hedge funds only report when they choose to, and thus probably only when they perform well.

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7
Q

What is survivorship bias

A

Ill-performing funds cease operations and leave the database, leaving only the successful ones behind

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8
Q

What are changing factor-loadings?

A

Changing exposure to different risk-factors due to hedge fund flexibility, making performance hard to judge

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9
Q

Why has alpha decreased for many HFs?

A

-Decrease of transaction costs on financial markets
-increaes of capital (more HFs, more competition)
-Information more readily available -> less anomalies
-Tightening of regulations and effort of compliance after financial crisis
-Decrease of financial incentives for HF managers because they have so much invested that the small returns are enough to make them rich

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10
Q

Can hedge funds hedge market risk?

A

-You would expect so, but correlation is higher than you would think due to high number of HFS
-Diversification benefits by FoFs are thus negligible
-Most HF strategies are thus not a good hedge

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11
Q

Potential reasons for HF outperformance

A

-Skill
-Investment flexibility
-Fraud
-Data issues
-Risk
-Problems measuring returns for HFs with CAPM

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12
Q

Model classifications

A

-Empirical: from data to model
-Theoretical: from theory to model -> black scholes

-Deterministic: random term
Probabilistic: no random term

Discrete: variable can only take discrete values
Continuous: variable can take any value within range

Cross-sectional: comparing multiple units at a point in time
Time series: track one unit over time
Panel: track multiple units over multiple time periods

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13
Q

What is a high water mark?

A

If a fund experiences losses, incentive fee is only paid when it makes up for those losses -> creates incentive to shut down fund after poor performance and start over

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14
Q

Why do we care about both alphas and betas for HFs?

A

We can achieve beta by simply buying (levered) ETFs -> we only care about alpha, but need beta to determine it
Investors could short market index to remove market risk from HF investment

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15
Q

What is alpha transfer, and how can it be achieved?

A

Portable alpha strategy earns beta in one asset and alpha in another
-Often implemented using futures contracts
Steps:
1. invest where you can find alpha, e.g., Jap. small caps
2. hedge systematic beta away, e.g., short Nikkei futures
3. Establish exposure to desired asset class by using futures or ETF

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16
Q

Why can hedge fund risk not be described with Stdev and sharpe?

A

Returns do not follow a normal distribution

17
Q

What can break an alpha transfer strategy?

A

-CAPM needs to hold
-Alpha forecast needs to be correct
-Beta forecast needs to be correct
-Epsilon should be negatiev or positive, as it cannot be hedged away

18
Q

Imagine you have a stock and you write a put option. Does this increase or decrease down-market beta?

A

Increase

19
Q
A